Discriminative analysis for feature reduction in automatic speech recognition
Enrico Bocchieri, Jay G. Wilpon · 1992
A dimensionality reduction method of the frame feature space based on discriminative analysis is discussed. A significant dimensionality reduction is obtained without loss of recognition performance in speaker independent experiments on a variety of speech databases. In addition, this procedure allows the selective incorporation of new feature components into an existing feature set.>